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Classification of flat instrumental plates by topography of ground surface using cluster analysis


Article Information

Title: Classification of flat instrumental plates by topography of ground surface using cluster analysis

Authors: Yakov Iosifovich Soler, Van Canh Nguyen, Denis Yurievich Kazimirov

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 21

Language: English

Categories

Abstract

In the contemporary mechanical engineering, we often face the problem of classification of processed parts according to the different criteria. In this research, we used hierarchical cluster analysis (CA) to form the groups of six grades of tool steels according to flat grinding machinability by wheel 5NQ46I6VS3 (Norton Vitrium). The topography of parts was estimated according to ten parameters of roughness, measured in two orthogonal directions coinciding with the vectors of transverse and longitudinal traverses. It was revealed that for the classification three clusters should be assigned, they include: 1 - W18, W6Mo5, W9Co5, W9Mo4Co8; 2 - W12V3Co10Mo3; 3 - Cr12. Clusters are put into a sequence of the deterioration of the topography of ground surface and, first, for flatness deviation and a decrease of its micro-hardness.


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